code: def test_load(self):
      self.model.fit(self.X_train)  # fit all models with X
      self.model.approximate(
          self.X_train
      )  # conduct model approximation if it is enabled
  
      # save the model
      dump(self.model, "model.joblib")
      model = load("model.joblib")
  
      predicted_labels = model.predict(self.X_test)  # predict labels
      predicted_scores = model.decision_function(
          self.X_test
      )  # predict scores
      predicted_probs = model.predict_proba(
          self.X_test
      )  # predict scores
  
      assert len(predicted_labels) != 0
  
file_path: SUOD/suod/test/test_model_save_load.py
imports: import os
  import sys
  import unittest
  from suod.models.base import SUOD
  from pyod.utils.data import generate_data
  from pyod.models.lof import LOF
  from pyod.models.pca import PCA
  from pyod.models.hbos import HBOS
  from pyod.models.lscp import LSCP
  from joblib import dump, load
  from suod.models.base import load_predictor_train
  from suod.models.base import load_predictor_prediction
label_desc: Use image node_id 3 for calling the TestModelSaveLoad obj's underlying member method code with example usage: obj.test_load() without return types